THE MICHAELANGELO LAB
THE MIBI TEAM
Mike Angelo, MD PhD
Principal Investigator
B.S. University of Mississippi
MD Ph.D. Duke University
Residency in Clinical Pathology, UCSF
mangelo0(at)stanford.edu
Mike's academic background spans across the fields of physics, biochemistry, electrical engineering, and medicine. During his residency he became interested in developing novel methods for immunohistochemical multiplexing using mass spectrometry leading to the development of MIBI during his postdoctoral work in the Nolan lab at Stanford University. Mike is now interested in optimizing MIBI and other mass reporter-based technologies further with the goal of identifying new transcriptional and translational signatures in solid tissue malignancies, and in allergic and other immunological disorders, that can be used to improve clinical diagnosis and treatment
Staff
Marc Bosse, PhD
Senior Staff Scientist
B.Sc. Microbiology, University of Montreal | M.Sc. Microbiology & Immunology, University of Montreal
Ph.D. in Experimental Medicine, Laval University, Canada
Postdoctoral fellow, Robarts Research Institute | Postdoctoral Fellow, SCC-RI, McMaster University
Research Area: Instrumentation and assay development
mbosse(at)stanford.edu
Marc has broad experience in microbiology, human stem cell biology and asthma research. He also worked in translational research developing a production process for an advance cell therapy product. He now works closely with Drs. Angelo and Bendall on improving MIBI technology. He is responsible for the maintenance of the MIBI-TOF imager and its day-to-day operation. He is also engaged in the development and adaption of molecular techniques for MIBI.
Selena Ferrian, PhD
Senior Staff Scientist
B.Sc. Animal Science, Universitá di Bologna | M.Sc. Animal Sciences, Universitat Politècnica de Valencia
Ph.D. Health Sciences, Universidad CEU Cardenal Herrera/Aarhus University
Research Area: TAMs in Glioblastoma
sferrian(at)stanford.edu
Selena worked as a Research Scientist within the Immunotherapy Platform, led by Dr. James Allison at MD Anderson Cancer Center. As a Sr. Scientist at Stanford University, Selena is interested in investigating the role of glioma infiltrating macrophages in disease pathogenesis. More specifically, she wants to understand how cell-cell communication affects macrophage cell types and states in Glioblastoma in order to accelerate future immunotherapy strategies. Concomitantly Selena is overseeing and supporting Dr. Angelo’s research collaborations derived from the implementation of the MIBI technology in diseased tissue.
Roshan Angoshtari, PhD
Staff Scientist
Ph.D. Genetics, Michigan State University
Research Area: Food Allergy
r.angoshtari(at)stanford.edu
Alex Baranski
Computational Staff Scientist
B.S. Mathematics, University of Chicago
Research Area: Machine learning and Computational Analysis
Alex is interested in the theoretical study and practical development of artificial intelligence, and looks to biological systems such as the immune system as a source of inspiration for how to construct computational models that can adapt and self-organize. He works primarily on building machine learning tools for data analysis, and applying dynamical systems, information, and automata theory to building numerical simulations.
Postdoctoral Fellows
Leeat Keren, PhD
Postdoctoral Fellow, Damon Runyon Fellowship
B.Sc. Bioinformatics, Tel-Aviv University | M.Sc. Computational Biology, Weizmann Institute
Ph.D. Computational Biology, Wiezmann Institute
Research Area: Computational Tool Development and Tumor-Immune Interactions
lkeren(at)stanford.edu
The immune system plays a critical role in modulating cancer progression. However, knowledge of the composition, phenotype, organization, and interactions between immune cells and tumor cells is limited. Leeat applies multiplexed imaging to study the interplay between the tumor and the immune system. She develops computational tools that allow to tease various layers of information from rich multiplexed-imaging data and employ them to infer design principles in tumor-immune interactions.
Tyler Risom, PhD
Postdoctoral Fellow, American Cancer Society Fellow
B.A. Molecular, Cellular Developmental Biology, University of Colorado
Ph.D. Cancer Biology, Oregon Health & Science University
Research Area: Ductal Cell Carcinoma In Situ, Melanoma, Pancreatic Cancer
trisom(at)stanford.edu
Tyler uses multiplexed imaging to profile the phenotypic content, phenotypic identity, and paracrine signaling between tumor and stromal cells in patient samples of ductal carcinoma in situ (DCIS) that did, or did not, recur with invasive breast carcinoma. This work will hopefully lead to the identification of biomarkers that can better risk stratify DCIS patients as well as identifying new molecular targets that could inhibit the progression of breast cancer to an invasive state.
Shirley Greenbaum, MD
Postdoctoral Fellow, Stanford SoM Dean's Fellowship
MD, The Hebrew University of Jerusalem, Hadassah Medical School
Research Area: Placenta Immunobiology
gshirley(at)stanford.edu
After completing her MD at the Hebrew University, Israel, Shirley joined the OBGYN residency program at Soroka University Hospital, of which she completed 3 years. Shirley then became very interested in research, particularly pregnancy complications related to the placenta and decided to take a time-off from clinical work to study the immunological interface between the mother and fetus.
Graduate Students
Erin McCaffrey
Graduate Student, Immunology, NSF Fellowship
B.S. Microbiology, University of Maryland-College Park
Research Area: Tuberculosis and Granulomatous Diseases
erinmcc(at)stanford.edu
During her undergraduate work in microbiology Erin became interested in the complex immune-evasion strategies of M. tuberculosis (TB) and its massive global burden in underserved patient populations. Her work focuses on elucidating immune mechanisms within TB granulomas that may drive disparate clinical outcomes. She is employing MIBI to identify immune cell populations, define their phenotypes, and asses their histologic organization within granulomas across the disease spectrum of TB in both human and non-human primate models of infection.
Noah Greenwald
Graduate Student, Cancer Biology, Stanford Graduate Fellowship, Co-Advisor: Dr. Christina Curtis
B.A. Biophysics, Harvard University
Research Area: Computational Image Analysis and Cancer Biology
nfgreen(at)stanford.edu
Noah received his BA in Biophysics from Harvard University. He then worked for two years at Harvard Medical School and the Broad Institute in the labs of Drs. Rameen Beroukhim and Ian Dunn studying the genomics of brain tumors. Noah is interested in combining multiplexed imaging techniques with genomics to understand the tumor microenvironment and response to therapy. He also works on developing tools for cell segmentation and computational analysis.
Alea Delmastro
Graduate Research Assistant, Biomedical Informatics
B.S. Chemical Engineering (Class of 2020)
M.S. Biomedical Informatics (anticipated 2021)
Research Area: Tuberculosis and Granulomatous Diseases
alead(at)stanford.edu
Alea is an undergraduate student in the Chemical Engineering department. She is interested in studying infectious disease, specifically relating to Tuberculosis (TB) infection. Despite its large global burden, the human immune response to Mycobacterium tuberculosis remains poorly characterized. Utilizing multiplexed ion beam imaging and computational methods for single cell analyses, Alea aims to elucidate the composition and structure of TB granulomas in the Non-Human Primate model of both latent and active infection.
Candace Liu
Graduate Student, Immunology, Stanford Graduate Fellowship
B.S. Chemical & Biomolecular Engineering, Johns Hopkins University
Research Area: HIV, Multi-omics integration and machine learning
cliu72(at)stanford.edu
After finishing her undergraduate degree, Candace worked at the National Institutes of Health in the Laboratory of Immune System Biology under Dr. John Tsang where she became interested in systems immunology and computational biology. She is interested in combining MIBI with genomics and/or epigenomics data to study latent viral reservoirs in HIV infection. She is also interested in building machine learning tools for image analysis.
Erin Soon
Graduate Student, Immunology, National Science Scholarship, A*STAR
B.Sc. BSc Pharmacology, Imperial College London
Research Area: Placenta Immunobiology
erinsoon(at)stanford.edu
Erin first became interested in fetal immunology while working with Florent Ginhoux at the Singapore Immunology Network during her undergraduate days. She subsequently dabbled in translational immunotherapy for chronic wounds and zebrafish genetics before deciding that she wanted to return to exploring the immune interactions at play during pregnancy. She is leveraging MIBI and complementary single cell analyses to interrogate the mechanisms of immune tolerance at the maternal-fetal interface.